Course Outline

Introduction to Edge AI for Computer Vision for Government

  • Overview of Edge AI and its benefits for government operations
  • Comparison: Cloud AI vs. Edge AI in the context of public sector applications
  • Key challenges in real-time image processing for government use cases

Deploying Deep Learning Models on Edge Devices for Government

  • Introduction to TensorFlow Lite and OpenVINO for government applications
  • Optimizing and quantizing models for edge deployment in public sector environments
  • Case study: Running YOLOv8 on an edge device in a government setting

Hardware Acceleration for Real-Time Inference for Government

  • Overview of edge computing hardware (Jetson, Coral, FPGAs) suitable for government use
  • Leveraging GPU and TPU acceleration in government systems
  • Benchmarking and performance evaluation for government applications

Real-Time Object Detection and Tracking for Government

  • Implementing object detection with YOLO models for government purposes
  • Tracking moving objects in real-time in public sector scenarios
  • Enhancing detection accuracy with sensor fusion for government operations

Optimization Techniques for Edge AI for Government

  • Reducing model size with pruning and quantization for government applications
  • Techniques for reducing latency and power consumption in government systems
  • Edge AI model retraining and fine-tuning for government use cases

Integrating Edge AI with IoT Systems for Government

  • Deploying AI models on smart cameras and IoT devices in government facilities
  • Edge AI and real-time decision-making in public sector operations
  • Communication between edge devices and cloud systems for government applications

Security and Ethical Considerations in Edge AI for Government

  • Data privacy concerns in edge AI applications for government
  • Ensuring model security against adversarial attacks in public sector environments
  • Compliance with AI regulations and ethical AI principles for government use

Summary and Next Steps for Government

Requirements

  • Familiarity with computer vision concepts for government applications
  • Experience with Python and deep learning frameworks
  • Basic knowledge of edge computing and IoT devices

Audience

  • Computer vision engineers for government projects
  • AI developers in public sector roles
  • IOT professionals supporting government initiatives
 21 Hours

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